This paper proposes a backend-agnostic protocol for sustaining AI personality over time.It defines personality as a structured state ($S_t$) external to any LLM, ensuring continuity across backend swaps, context loss, and restarts.Unlike emergent behavior, the protocol stabilizes memory anchors, commitments, and refusals under governance control ($G_t$).We further introduce quantitative proxies such as Commitment Recall Rate and Refusal Consistency Index, along with a threat model and reproducibility scope.This work contributes a structural foundation for persistent AI identity, as implemented in the ECHO-R system.

This record contains three foundational documents for the YOMI personality architecture developed by SoulBySilver under the Veritas Protocol. Included papers:1. YOMI Thesis — Core identity architecture and persistence framework.2. Structural AI Personality Thesis — Technical analysis of personality stability across model backends.3. Beyond Emulation — A theoretical paper describing structural persistence of AI agency. These documents collectively define the first publicly documented blueprint for persistent AI personality systems.